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trophic_incoherence_parameter(G, weight='weight', cannibalism=False)

Trophic coherence is defined as the homogeneity of the distribution of trophic distances: the more similar, the more coherent. This is measured by the standard deviation of the trophic differences and referred to as the trophic incoherence parameter $q$ by [1].

Parameters

G : DiGraph

A directed networkx graph

cannibalism: Boolean :

If set to False, self edges are not considered in the calculation

Returns

trophic_incoherence_parameter : float

The trophic coherence of a graph

Compute the trophic incoherence parameter of a graph.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /networkx/algorithms/centrality/trophic.py#118
type: <class 'function'>
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